Skip to main content

Variable Independence and Resolution Paths for Quantified Boolean Formulas

  • Conference paper
Principles and Practice of Constraint Programming – CP 2011 (CP 2011)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6876))

Abstract

Variable independence in quantified boolean formulas (QBFs) informally means that the quantifier structure of the formula can be rearranged so that two variables reverse their outer-inner relationship without changing the value of the QBF. Samer and Szeider introduced the standard dependency scheme and the triangle dependency scheme to safely over-approximate the set of variable pairs for which an outer-inner reversal might be unsound (JAR 2009).

This paper introduces resolution paths and defines the resolution-path dependency relation. The resolution-path relation is shown to be the root (smallest) of a lattice of dependency relations that includes quadrangle dependencies, triangle dependencies, strict standard dependencies, and standard dependencies. Soundness is proved for resolution-path dependencies, thus proving soundness for all the descendants in the lattice.

It is shown that the biconnected components (BCCs) and block trees of a certain clause-literal graph provide the key to computing dependency pairs efficiently for quadrangle dependencies. Preliminary empirical results on the 568 QBFEVAL-10 benchmarks show that in the outermost two quantifier blocks quadrangle dependency relations are smaller than standard dependency relations by widely varying factors.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 149.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Baase, S., Van Gelder, A.: Computer Algorithms: Introduction to Design and Analysis, 3rd edn. Addison-Wesley, Reading (2000)

    Google Scholar 

  2. Kleine Büning, H., Karpinski, M., Flögel, A.: Resolution for quantified boolean formulas. Information and Computation 117, 12–18 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  3. Kleine Büning, H., Lettmann, T.: Propositional Logic: Deduction and Algorithms. Cambridge University Press, Cambridge (1999)

    MATH  Google Scholar 

  4. Klieber, W., Sapra, S., Gao, S., Clarke, E.: A non-prenex, non-clausal QBF solver with game-state learning. In: Strichman, O., Szeider, S. (eds.) SAT 2010. LNCS, vol. 6175, pp. 128–142. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  5. Lonsing, F., Biere, A.: Integrating dependency schemes in search-based QBF solvers. In: Strichman, O., Szeider, S. (eds.) SAT 2010. LNCS, vol. 6175, pp. 158–171. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  6. Samer, M., Szeider, S.: Backdoor sets of quantified boolean formulas. J. Automated Reasoning 42, 77–97 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  7. Yates, R.A., Raphael, B., Hart, T.P.: Resolution graphs. Artificial Intelligence 1, 257–289 (1970)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Van Gelder, A. (2011). Variable Independence and Resolution Paths for Quantified Boolean Formulas. In: Lee, J. (eds) Principles and Practice of Constraint Programming – CP 2011. CP 2011. Lecture Notes in Computer Science, vol 6876. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23786-7_59

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23786-7_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23785-0

  • Online ISBN: 978-3-642-23786-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics